A low-cost, low-complexity amplitude-only angle-of-arrival (AoA) sensor system is
experimentally demonstrated. The sensor embeds a machine learning (ML)-in-the-loop …

The ever increasing technological demand for the DFT computation poses several
challenges both to theory and hardware realization. The design of usual fast Fourier …

Recently, cognitive radio (CR) has become an effective method for wideband spectrum
sensing (WBSS) based on sub-Nyquist sampling to enhance the sensing range as much as …

A thermodynamic method is proposed that can determine to which electrode the entropy
evolution is attributable without destroying the lithium battery. The entropy evolution of two …

Compressive subspace learning (CSL) with the exploitation of space diversity has found a
potential performance improvement for wideband spectrum sensing (WBSS). However …

为提高信号采样值之间的相关性和降低噪声对感知性能的影响, 该文提出基于信号包络自相关
矩阵的频谱感知算法. 首先对采样信号等间隔时长截取, 以相邻间隔的采样值计算信号自相关性 …

This article presents a multi-receiver cross-correlation technique for (B) FSK receivers,
targeting wireless sensor network applications. Here, multiple receiver outputs are pair-wise …

In order to improve the correlation between signal samplings and reduce the influence of
noise on sensing performance, a spectrum sensing algorithm based on signal envelope …

Fusing data from multiple sensors can improve performance beyond that of any individual
sensor and at worst is limited to the best individual performance among the sensors. In this …

In the current era of digital interconnectivity, signal processing has become increasingly
complex, especially in fields such as communications, biomedical sciences, and audio …